SOTAVerified

Multi-Label Text Classification

According to Wikipedia "In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of more than two classes; in the multi-label problem there is no constraint on how many of the classes the instance can be assigned to."

Papers

Showing 26–50 of 171 papers

TitleStatusHype
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text ClassificationCode1
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text ClassificationCode1
Co-attention network with label embedding for text classificationCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
Compositional Generalization for Multi-label Text Classification: A Data-Augmentation ApproachCode1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
Exploiting Global and Local Hierarchies for Hierarchical Text ClassificationCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Correlation Networks for Extreme Multi-label Text ClassificationCode1
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaCode1
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions—0
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification—0
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks—0
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts—0
Extreme Multi-label Text Classification with Multi-layer Experts—0
A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging—0
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification—0
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification—0
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification—0
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN—0
Active learning for medical code assignment—0
Extreme Multi-label Text Classification with Pseudo Label Descriptions—0
Extreme Zero-Shot Learning for Extreme Text Classification—0
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification—0
Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TTD (w/ fine-tuning)Precision88.3—Unverified
2TTD (w/o fine-tuning)Precision82.9—Unverified
3Qwen-72BPrecision69.3—Unverified
4NLTKPrecision59.8—Unverified
5Vicuna-33BPrecision52.7—Unverified
6Vicuna-7BPrecision44.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CB-NTRMicro-F190.74—Unverified
2NTR-FLMicro-F190.7—Unverified
3DBMicro-F190.62—Unverified
4MAGNETMicro-F189.9—Unverified
5CNLEMicro-F189.9—Unverified
6VLAWEMicro-F189.3—Unverified
#ModelMetricClaimedVerifiedStatus
1LSANP@185.28—Unverified
2LAHAP@184.48—Unverified
3LW-PTMicro F172.8—Unverified
4CNLEMicro F171.7—Unverified
5MAGNETF169.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TagBERTF1-score46—Unverified
2TagCNNF1-score45.3—Unverified
3TagMulRecF1-score36.4—Unverified
4EnTagRecF1-score36—Unverified
5FastTagRecF1-score33.2—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.88—Unverified
2SVMAverage F10.78—Unverified
3NBAverage F10.63—Unverified
#ModelMetricClaimedVerifiedStatus
1bert-baseP@568.7—Unverified
2NLP-CapP@552.83—Unverified
3LAHAP@550.71—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.66—Unverified
3NBAverage F10.38—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.82—Unverified
3NBAverage F10.51—Unverified
#ModelMetricClaimedVerifiedStatus
1HLANAUC0.92—Unverified
2Feed-forward NNPrecision0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1D2SBERT using Sequence AttentionMicro-F168.56—Unverified
2HLANMicro-F164.1—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@194.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Bert1:1 Accuracy0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@154.38—Unverified
#ModelMetricClaimedVerifiedStatus
1DECAFPrecision@138.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ECLAREPrecision@140.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HiddeNMacro-F147.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F188.5—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F156.8—Unverified
#ModelMetricClaimedVerifiedStatus
1BERTF166.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@184.18—Unverified